What problem does it solve?
Generic AI generates generic safety paperwork that regulators reject: vague tasks, controls that collapse to PPE, actions with no owner, and personal data leaking into widely shared documents. This Skill forces exposure-basis specificity, applies the hierarchy of controls, de-identifies sensitive health data, and runs a domain-expert sign-off before presenting any output.
Core Features & Use Cases
- Structured Intake: Interrogates the task one question at a time for exact site, activity, exposed groups, evidence, jurisdiction, and existing controls—refusing to proceed on vague requests.
- Regulatory-Grounded Assessment: Transcribes measured or estimated noise levels and compares them to cited action levels and exposure limits with authority and year (OSHA 1910.95 85/90 dBA; UK Control of Noise at Work Regs 2005 80/85/87 dB(A)).
- Hierarchy-Ranked Controls: Maps exposure zones and ranks noise-reduction controls from source elimination through engineering and administrative measures to hearing protection as the last resort.
- Audiometric Surveillance: Sets action-level-linked audiometry schedules (baseline, annual, and standard-threshold-shift triggers) with strict de-identification of special-category health data.
- Use Case: Assess press-shop noise exposure, build a hearing-conservation program for a grinding bay, map plant noise exposure zones, or set an audiometry schedule for operators above the action level.
Quick Start
Use the noise-exposure-health-surveillance skill to assess the press-shop noise exposure for the line-2 operator SEG with a measured 92 dB(A) L_EX,8h and build a hearing-conservation plan with an audiometry schedule.
